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ai-content-pipeline

ai-content-pipeline

github.com/inference-shCreative & media7891.0k installsUpdated 2w ago
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About ai-content-pipeline

ai-content-pipeline is a skill for building multi-step content creation pipelines with the inference.sh CLI (`belt`). It is aimed at creators combining text, research, images, video, and audio operations.

Key features

  1. 01Chaining content generation steps
  2. 02Combining research, text, and media
  3. 03Saving intermediate outputs
  4. 04Examples for video and blog workflows

Use cases

  1. 01Turning a topic into a short video
  2. 02Converting a blog post into video
  3. 03Creating a product showcase video

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/inference-sh/skills --skill ai-content-pipeline

After installing, type/ai-content-pipelinein Claude Code to confirm it loaded.

Details

From the project README

Install the belt CLI skill: npx skills add belt-sh/cli

AI Content Pipeline

Build multi-step content creation pipelines via inference.sh CLI.

AI Content Pipeline

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Simple pipeline: Generate image -> Animate to video
belt app run falai/flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json
belt app run falai/wan-2-5-i2v --input '{"image": "<url-from-previous>", "prompt": "slow camera push-in"}'

Pipeline Patterns

Pattern 1: Image -> Video -> Audio
[FLUX Image] -> [Wan 2.5 Video] -> [Foley Sound]
Pattern 2: Script -> Speech -> Avatar
[LLM Script] -> [Kokoro TTS] -> [OmniHuman Avatar]
Pattern 3: Research -> Content -> Distribution
[Tavily Search] -> [Claude Summary] -> [FLUX Visual] -> [Twitter Post]

Complete Workflows

YouTube Short Pipeline

Create a complete short-form video from a topic.

# 1. Generate script with Claude
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 30-second script about the future of AI. Make it engaging and conversational. Just the script, no stage directions."
}' > script.json

# 2. Generate voiceover with Kokoro
belt app run falai/kokoro-tts --input '{
  "prompt": "<script-text>",
  "voice": "af_sarah"
}' > voice.json

# 3. Generate background image with FLUX
belt app run falai/flux-dev --input '{
  "prompt": "Futuristic city skyline at sunset, cyberpunk aesthetic, 4K wallpaper"
}' > background.json

# 4. Animate image to video with Wan
belt app run falai/wan-2-5-i2v --input '{
  "image": "<background-url>",
  "prompt": "slow camera pan across cityscape, subtle movement"
}' > video.json

# 5. Add captions (manually or with another tool)

# 6. Merge video with audio
belt app run infsh/video-audio-merger --input '{
  "video_file": "<video-url>",
  "audio_file": "<voice-url>"
}'
Talking Head Video Pipeline

Create an AI avatar presenting content.

# 1. Write the script
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 1-minute explainer script about quantum computing for beginners."
}' > script.json

# 2. Generate speech
belt app run falai/kokoro-tts --input '{
  "prompt": "<script>",
  "voice": "am_michael"
}' > speech.json

# 3. Generate or use a portrait image
belt app run falai/flux-dev --input '{
  "prompt": "Professional headshot of a friendly tech presenter, neutral background, looking at camera"
}' > portrait.json

# 4. Create talking head video
belt app run bytedance/omnihuman-1-5 --input '{
  "image": "<portrait-url>",
  "audio": "<speech-url>"
}' > talking_head.json
Product Demo Pipeline

Create a product showcase video.

# 1. Generate product image
belt app run falai/flux-dev --input '{
  "prompt": "Sleek wireless earbuds on white surface, studio lighting, product photography"
}' > product.json

# 2. Animate product reveal
belt app run falai/wan-2-5-i2v --input '{
  "image": "<product-url>",
  "prompt": "slow 360 rotation, smooth motion"
}' > product_video.json

# 3. Upscale video quality
belt app run falai/topaz-video-upscaler --input '{
  "video": "<product-video-url>"
}' > upscaled.json

# 4. Add background music
belt app run infsh/video-audio-merger --input '{
  "video_file": "<upscaled-url>",
  "audio_file": "https://your-music.mp3"
}'
Blog to Video Pipeline

Convert written content to video format.

# 1. Summarize blog post
belt app run openrouter/claude-haiku-45 --input '{
  "prompt": "Summarize this blog post into 5 key points for a video script: <blog-content>"
}' > summary.json

# 2. Generate images for each point
for i in 1 2 3 4 5; do
  belt app run falai/flux-dev --input "{
    \"prompt\": \"Visual representing point $i: <point-text>\"
  }" > "image_$i.json"
done

# 3. Animate each image
for i in 1 2 3 4 5; do
  belt app run falai/wan-2-5-i2v --input "{
    \"image\": \"<image-$i-url>\",
    \"prompt\": \"subtle camera motion\"
  }" > "video_$i.json"
done

# 4. Generate voiceover
belt app run falai/kokoro-tts --input '{
  "prompt": "<full-script>",
  "voice": "bf_emma",
  "language": "british-english"
}' > narration.json

# 5. Merge all clips
belt app run infsh/media-merger --input '{
  "media_files": [
    {"file": "<video1>", "transition_type": "crossfade"},
    {"file": "<video2>", "transition_type": "crossfade"},
    {"file": "<video3>", "transition_type": "crossfade"},
    {"file": "<video4>", "transition_type": "crossfade"},
    {"file": "<video5>", "transition_type": "crossfade"}
  ]
}' > merged.json

belt app run infsh/video-audio-merger --input '{
  "video_file": "<merged-url>",
  "audio_file": "<narration-url>"
}'

Pipeline Building Blocks

Content Generation
StepAppPurpose
Scriptopenrouter/claude-sonnet-45Write content
Researchtavily/search-assistantGather information
Summaryopenrouter/claude-haiku-45Condense content
Visual Assets
StepAppPurpose
Imagefalai/flux-devGenerate images
Imagegoogle/imagen-3Alternative image gen
Upscalefalai/topaz-image-upscalerEnhance quality
Animation
StepAppPurpose
I2Vfalai/wan-2-5-i2vAnimate images
T2Vgoogle/veo-3-1-fastGenerate from text
Avatarbytedance/omnihuman-1-5Talking heads
Audio
StepAppPurpose
TTSfalai/kokoro-ttsVoice narration
Musicinfsh/ai-musicBackground music
Foleyinfsh/mmaudioSound effects
Post-Production
StepAppPurpose
Upscalefalai/topaz-video-upscalerEnhance video
Mergeinfsh/media-mergerCombine media
Captioninfsh/caption-videosAdd subtitles

Best Practices

  1. Plan the pipeline first - Map out each step before running
  2. Save intermediate results - Store outputs for iteration
  3. Use appropriate quality - Fast models for drafts, quality for finals
  4. Match resolutions - Keep consistent aspect ratios throughout
  5. Test each step - Verify outputs before proceeding

Related Skills

# Video generation models
npx skills add inference-sh/skills@ai-video-generation

# Image generation
npx skills add inference-sh/skills@ai-image-generation

# Text-to-speech
npx skills add inference-sh/skills@text-to-speech

# LLM models for scripts
npx skills add inference-sh/skills@llm-models

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Browse all apps: belt app list

Documentation

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